• Journal of Biomedical Engineering Research
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• v.44 no.1
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• pp.19-24
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• 2023

Due to the spread of COVID-19, many patients with severe respiratory diseases have occurred worldwide, and accordingly, the use of mechanical ventilators has exploded. However, hospitals do not have systematic risk management, and the Medical Device Regulation also provides medical device risk management standards for manufacturers, but does not apply to devices in use. In this paper, we applied the Failure Mode Effects Analysis (FMEA) risk analysis technique based on the International Standard ISO 14971 (Medical Devices-Application of risk management to medical devices) for 85 mechanical ventilators of a specific model in use in hospitals. Failure modes and effects of each parts were investigated, and risk priority was derived through multiplication of each score by preparing criteria for severity, occurrence, and detection for each failure mode. As a result, it was confirmed that the microprocessor-based Patient Unit/Monitoring board in charge of monitoring scored the highest score with 36 points, and that reliability management is possible through systematic risk management according to priority.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.1
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• pp.69-90
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• 2021

Purpose : This study explores unmet medical services within a region for patients admitted to a single medical institution in one region and was to analyze the importance and satisfaction of hospital selection attributes. Through this, we tried to solve the unmet medical needs of patients and provide useful basic data in terms of hospital management in the region. Methods : It were collected to a total of 250 questionnaires for patients admitted to the regional integrative medical hospital. However, 232 samples were used for the final analysis, excluding 18 copies not reported in good faith. For the analysis, first, demographic frequency analysis of inpatients and inpatients was performed, and second, characteristics of patients, including frequent disease receiving treatment, were analyzed. Next, descriptive statistics analysis was conducted on unmet medical service intentions. In terms of hospital selection attribute, the items of continuity maintenance (I quadrant), priority visibility (II quadrant), low priority (III quadrant), and excessive effort (IV quadrant) were derived using the IPA (importance-performance analysis) matrix technique. Results : The derived results were classified by item and area. In the priority administration area, it was the reputation and recognition of medical institutions and the service area of medical institutions. In the case of items, there were 6 items including the importance of surgery and medical expenses, and diet at hospitalization. 1) Conclusion : Thus a result of this study, resources are efficiently allocated to priority correction areas with high importance but low satisfaction and circulatory medical treatment is performed in the departments required by patients who use medical care and, various methods, such as preparing a policy to support medical expenses, should be sought.

• Journal of Korean Society of Rural Planning
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• v.28 no.4
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• pp.127-138
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• 2022

In responding to climate change in the agricultural sector, Climate Smart Agriculture (CSA) is an approach to establish a sustainable agricultural system through comprehensive management of technology, policy, and investment. The international community is continually expanding CSA implementation, and it became more important to understand the status of the domestic agriculture system and practices that are relevant to CSA. This study explored the available CSA in domestic agricultural systems and presented the order of relative importance of CSA technology. AHP analysis is employed for the evaluation with the following criteria: productivity, marketability, adaptability, and mitigation. The relative importance is evaluated with six agricultural technologies (soil, crop management, water, energy efficiency, alternative energy, and precision agriculture) in 28 agricultural technology sectors. The results of the AHP analysis showed that 'alternative energy' was found to be a top priority among the agricultural technology sectors, and 'shallow depth drain in rice paddy' was a top priority for agricultural technology. Also, the 'marketability' in soil and water sectors, 'mitigation' in crop management, and 'adaptability' in energy efficiency and alternative energy were given higher priority. The results of this study can be used as a good source for strategic CSA preparation and application.

• Journal of Advanced Navigation Technology
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• v.27 no.5
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• pp.580-586
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• 2023

AESA radar is able to instantaneously and adaptively position and control the beam, and this enables to greatly improve multi-target tracking capability with high accuracy in comparison to traditional mechanically-scanned radar system. This paper is primarily concerned with the development of an efficient methodology for multi-target managenent with the context of multi-target environment employing AESA radar. In this paper, targets are stratified into two principal categories: currently displayed targets and non-display targets, predicated upon their relative priority. Displayed targets are subsequently stratified into TOI (target of interest), HPT (high priority target), and SAT (situational awareness target), based on the requisite levels of tracking accuracy. It also suggests rules for determining target priority management, especially in air-to-air mode including interleaved mode. This proposed approach was tested and validated in a SIL (system integration lab) environment, applying it to AESA radars mounted on aircraft.

• Korean Journal of Construction Engineering and Management
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• v.18 no.2
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• pp.108-116
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• 2017

It is expected that the maintenance cost of domestic bridges will increase considerably due to the increase of bridge service time. In response to this situation, the government and relevant ministries are focusing on developing ways to efficiently allocate limited budgets and to rationally select maintenance bridge. In this study, to develop a risk - based bridge maintenance priority decision model, 14 common risk factors causing damage to bridges were extracted and AHP analysis was performed to select 5 important factors. Based on the existing literature review and expert consultation, we derive the evaluation criteria and the impact weights of the selected factors, and based on this, I presented risk based bridge maintenance priority model. Using this model in combination with existing maintenance priority methods will lead to more reasonable bridge maintenance priorities.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.10-17
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• 2018

Most of the privacy officers of organizations are hard to think of the corrective action about deficiencies of the PIMS(Personal Information Management Systems) certification. Because, it is difficult to define the priority of the complementary measures due to the unique characteristics and procedures of personal information protection for each organization. The purpose of this study is to evaluate the priority of the complementary measures using the Analytic Hierarchy Process(AHP). According to the results, it is important to comply with the legal requirements in the first tier. The second tier, PIMS experts answered that dedicated organization, password management, and agreement of the subject are important. Above all, agreement of the subject was found the highest priority for complementary measures about PIMS's deficiencies.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.75-81
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• 2021

The purpose of this research is to derive and evaluate priorities for critical factors that must be determined before an enterprise adopts a cloud computing service. AHP analysis techniques were used to reflect decisions made by experts as research methods. AHP is a decision-making technique that expresses complex decision-making problems hierarchically and derives the best alternatives through pairwise comparison between the items of the hierarchy. Compared to the existing statistical decision making techniques, the decision making process is systematic and simple, making it easy to understand. In addition, the procedure is also reasonable by providing an indicator to determine the consistency of the decision maker in the analysis process. The analysis results of this research showed that security was the first priority, reliability was the second priority, and economic efficiency was the third priority. Among the factors in the first-priority security items, the access control rights and the safety factors of external threats are the most important factors. Research results can be used as a guideline in future practice, and it is necessary to evaluate, compare and analyze the satisfaction of companies that have adopted cloud computing services in the future.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.6
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• pp.584-590
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• 2016

This paper proposed "Priority Scheduling and MultiPath Routing Protocol (RRPS) for preventing communication disruption in the urban environment" to minimize the disconnection or disruption of V2I and V2V communication in the urban environment where communication is frequently disconnected according to density. The flow of the RRPS is explained as follows. RSU Request Priority Scheduling (RRPS) is used to apply the priority of the request message prior to reaching the end line by using the Start Line and End Line, which are the management areas of the RSU). This paper also proposed MPRP (Multi Path Routing Protocol) design to set up the multipath to the destination. As a result, the proposed RRPS improves the processing efficiency of V2I by applying priority scheduling to the message of the vehicle requesting the information in the RSU, and can prevent the communication disconnection. Thereby, it is improved the transmission success probability.

• Journal of Environmental Impact Assessment
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• v.28 no.3
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• pp.263-274
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• 2019

The purpose of this study is to examine a monitoring method, management zones, and maintenance strategies for water friendly facilities in urban streams after the completion of ecological restoration projects. Maintenance monitoring items are composed of 'use space& facilities', 'trails& bike roads', 'access', and 'boards'. The evaluation standards of water friendly facilities are 'maintenance conditions', 'safety', and 'usage level' which are rated as 'good', 'moderate', and 'poor'. Through a field survey and evaluation of 15 stream sections in Jeonjucheon,the management levels of each water friendly facility are determined as 'priority maintenance', 'general maintenance', 'maintain/remove', and 'remove'. Based on the evaluation results, management zones and maintenance strategies are proposed for each stream section. As a results, the stream sections of J2, J3, J4, and J9 which have 5 to 9 facilities with 'priority maintenance' are determined as 'intensive management zone'. The stream sections of J5, J6, J7, J8, J11, and J14 which have 1 to 3 facilities with 'priority maintenance' are determined as 'regular management zone'. The stream sections of J1, J10, J12, J13, and J15 which have no facilities with 'priority maintenance' are determined as 'minimum management zone'. The process of monitoring & evaluation system and determining management zones can be applied to establish a systematic maintenance plan for water friendly facilities by participation of governance in the future.

• Journal of the Korean Society of Safety
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• v.31 no.5
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• pp.7-15
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• 2016

The purpose of this paper is to carry out Failure Modes and Effects Analysis (FMEA) and use criticality in order to determine risk priority number of the components of electric power installations in Engineering college building of D university. In risk priority number, GROUP A had 7 failure modes; more specifically, Transfomer had 4 modes, Filter(C)(1 mode), LA(1 mode), and CB(MCCB)(1 mode), and thus 4 components had failure modes. In terms of criticality, high-grade group a total of 16 failure modes, and 7 components-LA(1 mode), CB(MCCB)(1 mode), MOF(2 modes), PT(1 mode), Transformer(7 modes), Cable(3 modes), and Filter(C)(1 mode)-had failure modes. Comparison of risk priority number and criticality was made. The components which had high risk priority number and high criticality were Transformer, Filter(C), LA, and CB(MCCB). The components which had high criticality were MOF and cable. In particular, Transformer(RPN: 4 modes, Criticality: 7 modes) was chosen as an intensive management component.